Jana Münchenberger

9 total papers · 495 total citations
7 papers, 381 citations indexed

About

Jana Münchenberger is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Jana Münchenberger has authored 7 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Cognitive Neuroscience. Recurrent topics in Jana Münchenberger's work include Magnetic properties of thin films (5 papers), Advanced Memory and Neural Computing (3 papers) and Magneto-Optical Properties and Applications (3 papers). Jana Münchenberger is often cited by papers focused on Magnetic properties of thin films (5 papers), Advanced Memory and Neural Computing (3 papers) and Magneto-Optical Properties and Applications (3 papers). Jana Münchenberger collaborates with scholars based in Germany and Australia. Jana Münchenberger's co-authors include Andy Thomas, Günter Reiss, Patryk Krzysteczko, Markus Schäfers, K. Rott, V. E. Demidov, G. Reiß, S. O. Demokritov, Mikhail Kostylev and J. Jersch and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Applied Physics Letters.

In The Last Decade

Jana Münchenberger

7 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jana Münchenberger 249 213 90 67 61 7 381
A. Kurenkov 256 1.0× 228 1.1× 30 0.3× 98 1.5× 56 0.9× 12 370
Huai Lin 265 1.1× 145 0.7× 27 0.3× 40 0.6× 22 0.4× 20 381
Guoyi Shi 200 0.8× 230 1.1× 30 0.3× 134 2.0× 77 1.3× 14 371
Hyungwoo Lee 351 1.4× 92 0.4× 62 0.7× 17 0.3× 10 0.2× 12 420
Boyoung Seo 349 1.4× 95 0.4× 43 0.5× 20 0.3× 10 0.2× 4 403
Vaibhav Ostwal 247 1.0× 114 0.5× 21 0.2× 62 0.9× 20 0.3× 14 411
Craig Sherstan 267 1.1× 159 0.7× 26 0.3× 118 1.8× 9 0.1× 8 431
Corinna Kaspar 112 0.4× 36 0.2× 36 0.4× 26 0.4× 86 1.4× 8 385
Dali Cheng 224 0.9× 54 0.3× 141 1.6× 27 0.4× 33 0.5× 17 434
John Niroula 341 1.4× 30 0.1× 44 0.5× 52 0.8× 160 2.6× 23 369

Countries citing papers authored by Jana Münchenberger

Since Specialization
Citations

This map shows the geographic impact of Jana Münchenberger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jana Münchenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jana Münchenberger more than expected).

Fields of papers citing papers by Jana Münchenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jana Münchenberger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jana Münchenberger. The network helps show where Jana Münchenberger may publish in the future.

Co-authorship network of co-authors of Jana Münchenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Münchenberger. A scholar is included among the top collaborators of Jana Münchenberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jana Münchenberger. Jana Münchenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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